Estimation risk of lymph nodal invasion in patients with early-stage cervical cancer: Cervical cancer application.

ABSTRACT:

Introduction

Lymph node status is a major prognostic factor in early-stage cervical cancer. Predicting the risk of lymph node metastasis is essential for optimal therapeutic management. The aim of the study was to develop a web-based application to predict the risk of lymph node metastasis in patients with early-stage (IA1 with positive lymph vascular space invasion, IA2 and IB1) cervical cancer.

Materials and methods

We performed a secondary analysis of data from two prospective multicenter trials, Senticol 1 and 2 pooled together in the training dataset. The histological risk factors were included in a multivariate logistic regression model in order to determine the most suitable prediction model. An internal validation of the chosen prediction model was then carried out b

SUBMITTER: Guani B 

PROVIDER: S-EPMC9413841 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature